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Recent developments in WEB&Grid based e-Science frameworks like VL-e are providing basic services which will help hiding computing resources to boost the development of data and computational intensive e-Science on a large scale distributed infrastructure.

Application scientist canfocus on his own sciencerather than ICT problems

A predefined Application workflow developed in VLAM can be executed as a single step in Kepler/Taverna

(no need to recompose graphically the whole workflow).

The predefined Application workflow will be executed on any remote computing resource where the VLAM-RTSM GT4 Web service is installed.

Advantages:

Compose workflow where sub-workflows (which require grid resources) are executed on grid-enabled resources, while the rest of the workflow is either executed using other Kepler actors or taverna processors

It is also more efficient, since it avoid the overhead which will result by wrapping every workflow component as a separated web service or a separate remote grid-execution.